CV

Personal Statement

I am an engineering and science enthusiast committed to agility, responsibility, and teamwork. I strive to become an influential researcher in my field by consistently challenging myself and achieving my goals. My hobbies include liberal arts and languages, which I pursue passionately in my free time.

I bring a robust understanding of Semiconductor Devices, Optical Metrology, Computer Vision, and Data Science from my extensive experience in both professional environments and academic settings. My keen eye for detail, diligent work ethic, and strong project management skills make me a prime candidate for roles in Semiconductor Design and Manufacturing, Data Analytics, and Machine Learning Operations.

Education

• B.Tech. in Electronics, Metropolia University of Applied Sciences, Helsinki, Finland (2014 - 2018)
• M.Sc. in Translational Engineering, Aalto University, Espoo, Finland (2018 - 2020)
• Ph.D. in Industrial Engineering and Management, Oklahoma State University, Stillwater, USA (Expected 2028)

Work Experience

• Intel Products Vietnam (VNAT), Saigon Hi-Tech Park, Ho Chi Minh City, Vietnam
  • Process and Equipment Engineer - Deep Learning Scientist (April 2021 - December 2022)
  • Supervisor: Harley L. Fagan
  • Responsibilities:
    • Led in-house projects applying deep learning in product inspection.
    • Curated tutorials on computer vision; mentored in Python and ML as part of Intel AI Everywhere Community.
    • Managed employee integration and event coordination for NextGenVietnam.
• First Solar Vietnam, Dong Nam Industrial Park, Cu Chi, Vietnam
  • Manufacturing Engineer Trainee (November 2020 - March 2021)
  • Supervisor: Nguyen, Thanh Hai
  • Responsibilities:
    • Established a standardized image database for fault detection in solar panels, significantly influencing troubleshooting strategies.
    • Conducted technical sessions on laser physics and optics, greatly appreciated by colleagues.
• SolarBK, Ho Chi Minh City, Vietnam
  • Research and Development Associate - Thesis Worker (July 2020 - September 2020)
  • Supervisor: Nguyen, Vinh Khuong
  • Responsibilities:
    • Developed AI-based evaluation methods for photovoltaic cell quality assurance.
    • Assisted in securing funding for two major projects under Innovate UK’s Energy Catalyst.
• Metrology Research Institute, Aalto University, Espoo, Finland
  • Research Assistant (March 2019 - December 2019)
  • Supervisor: Petri Karha
  • Responsibilities:
    • Supported a project on the standardization of solar cell performance, resulting in a published conference paper.
• Noiseless Acoustics Oy, Helsinki, Finland
  • Electronics Manufacturing and Test Engineer (March 2018 - November 2018)
  • Supervisor: Jonas Nyberg
  • Responsibilities:
    • Developed and implemented testing modules for the NL Camera, enhancing product reliability.
• MDS Finland Oy, Helsinki, Finland
  • Occupational Health Research and Development Engineer - Thesis Worker (May 2017 - October 2017)
  • Responsibilities:
    • Developed a safety system for construction machinery, forming the basis for a new product line.

Skills

• Languages: English (IELTS Certified C2 level).
• Technical Skills: Proficient in Python, MATLAB, LabVIEW, Arduino, and LaTEX; experienced with SAS JMP.
• Areas of Expertise: Computer Vision, Data Science, Semiconductor Engineering, Optical Metrology, Power Electronics.
• Soft Skills: Project Management, Event Planning, Public Speaking.

Publications

• Books and Articles:
  • “Utilising Deep Learning Models for Fault Detection of Photovoltaic Modules” in Information Systems Research in Vietnam, Springer; 2023. Link
  • “Measurement setup for differential spectral responsivity of solar cells” in Optical Review, Springer; 2020. Link
• Theses:
  • “Safety System in Construction Industry”, Bachelor Thesis, Open Repository of Universities of Applied Sciences; 2018. Link
  • “Realization and Verification of Deep Learning models for Fault Detection and Diagnosis of Photovoltaic Modules”, Master Thesis, Aalto Learning Center; 2020. Link

Teaching

• Aalto University, Espoo, Finland
  • Teaching and Exercises Assistant, “Sensors and Measurement Methods” course (March 2019 - June 2019)
• Master Thesis Advisor
  • Supervised thesis on “Crown-of-Thorns Starfish detection using YOLOv5” (January 2022 - June 2022)
• Visiting Lecturer
  • RMIT University Vietnam, “Optics/Optoelectronic Applications in Reality” (January 2023)